---
title: "Dashboard"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source: embed
---

```{r}
library(tidyverse)
library(p8105.datasets)
library(plotly)
#library(flexdashboard)

```


Column {data-width=650}
-----------------------------------------------------------------------

### Chart A

```{r, echo=FALSE}
rest_inspec_tidy = rest_inspec %>% 
  drop_na() %>% 
  select(boro, cuisine_description, dba, inspection_date, score, violation_code) %>% 
  group_by(cuisine_description) %>% 
  mutate(mean_score_by_cuisine = mean(score, na.rm = TRUE)) 

rest_box = rest_inspec_tidy %>% 
  drop_na(boro, score) %>% 
  plot_ly(y = ~score, color = ~boro, type = "box", colors = "viridis")

rest_box
```

Column {data-width=350}
-----------------------------------------------------------------------

### Chart B

```{r, echo=FALSE}
rest_bar = rest_inspec_tidy %>%
  count(boro) %>% 
  mutate(boro = fct_reorder(boro, n)) %>% 
  plot_ly(x = ~boro, y = ~n, color = ~boro, type = "bar", colors = "viridis")

rest_bar
```

### Chart C

```{r, echo=FALSE}
rest_bar_2 = rest_inspec_tidy %>% 
  count(cuisine_description) %>% 
  plot_ly(x = ~cuisine_description, y= ~n, color =~cuisine_description, type = "bar", colors = "viridis")

rest_bar_2
```



Knit
```{r}
#rmarkdown::render("dashboard.Rmd", output_format = "flexdashboard::flex_dashboard")

```